Consider the highlight of the Deloitte reading from on predictive analytics. Then, research aspects of the application of artificial intelligence and how it is used to fuel predictive analytical capabilities to predict risks and their likelihood and impact.
Respond to the questions in a two-to-three-page paper. Use double spacing, Times New Roman 12-point font, and one-inch margins. Thoroughly and concisely address the topic in the prompt. For additional details, see the rubric. Only APA-formatted references are required for this assignment.
Answer the following:
Explain how predictability relates to the ability to manage risks effectively.
Explain how effectively managing risks helps build more resilient organizations and how that affects long-term performance and mission accomplishment.
Give an example of where in the aviation industry this capability could be useful.
Sample solution
Dante Alighieri played a critical role in the literature world through his poem Divine Comedy that was written in the 14th century. The poem contains Inferno, Purgatorio, and Paradiso. The Inferno is a description of the nine circles of torment that are found on the earth. It depicts the realms of the people that have gone against the spiritual values and who, instead, have chosen bestial appetite, violence, or fraud and malice. The nine circles of hell are limbo, lust, gluttony, greed and wrath. Others are heresy, violence, fraud, and treachery. The purpose of this paper is to examine the Dante’s Inferno in the perspective of its portrayal of God’s image and the justification of hell.
In this epic poem, God is portrayed as a super being guilty of multiple weaknesses including being egotistic, unjust, and hypocritical. Dante, in this poem, depicts God as being more human than divine by challenging God’s omnipotence. Additionally, the manner in which Dante describes Hell is in full contradiction to the morals of God as written in the Bible. When god arranges Hell to flatter Himself, He commits egotism, a sin that is common among human beings (Cheney, 2016). The weakness is depicted in Limbo and on the Gate of Hell where, for instance, God sends those who do not worship Him to Hell. This implies that failure to worship Him is a sin.
God is also depicted as lacking justice in His actions thus removing the godly image. The injustice is portrayed by the manner in which the sodomites and opportunists are treated. The opportunists are subjected to banner chasing in their lives after death followed by being stung by insects and maggots. They are known to having done neither good nor bad during their lifetimes and, therefore, justice could have demanded that they be granted a neutral punishment having lived a neutral life. The sodomites are also punished unfairly by God when Brunetto Lattini is condemned to hell despite being a good leader (Babor, T. F., McGovern, T., & Robaina, K. (2017). While he commited sodomy, God chooses to ignore all the other good deeds that Brunetto did.
Finally, God is also portrayed as being hypocritical in His actions, a sin that further diminishes His godliness and makes Him more human. A case in point is when God condemns the sin of egotism and goes ahead to commit it repeatedly. Proverbs 29:23 states that “arrogance will bring your downfall, but if you are humble, you will be respected.” When Slattery condemns Dante’s human state as being weak, doubtful, and limited, he is proving God’s hypocrisy because He is also human (Verdicchio, 2015). The actions of God in Hell as portrayed by Dante are inconsistent with the Biblical literature. Both Dante and God are prone to making mistakes, something common among human beings thus making God more human.
To wrap it up, Dante portrays God is more human since He commits the same sins that humans commit: egotism, hypocrisy, and injustice. Hell is justified as being a destination for victims of the mistakes committed by God. The Hell is presented as being a totally different place as compared to what is written about it in the Bible. As a result, reading through the text gives an image of God who is prone to the very mistakes common to humans thus ripping Him off His lofty status of divine and, instead, making Him a mere human. Whether or not Dante did it intentionally is subject to debate but one thing is clear in the poem: the misconstrued notion of God is revealed to future generations.
References
Babor, T. F., McGovern, T., & Robaina, K. (2017). Dante’s inferno: Seven deadly sins in scientific publishing and how to avoid them. Addiction Science: A Guide for the Perplexed, 267.
Cheney, L. D. G. (2016). Illustrations for Dante’s Inferno: A Comparative Study of Sandro Botticelli, Giovanni Stradano, and Federico Zuccaro. Cultural and Religious Studies, 4(8), 487.
Verdicchio, M. (2015). Irony and Desire in Dante’s” Inferno” 27. Italica, 285-297.
Sample Answer
Sample Answer
Predictive Analytics and Artificial Intelligence in Risk Management
Introduction
In today’s rapidly evolving business environment, organizations are increasingly turning to predictive analytics, powered by artificial intelligence (AI), to manage risks more effectively. Predictive analytics refers to the use of statistical algorithms and machine learning techniques to identify the likelihood of future outcomes based on historical data. This paper explores the relationship between predictability and risk management, how effective risk management contributes to organizational resilience and long-term performance, and provides an example from the aviation industry where predictive analytics can be particularly beneficial.
Predictability and Risk Management
Predictability is a cornerstone of effective risk management. By leveraging predictive analytics, organizations can anticipate potential risks before they materialize, enabling proactive measures to mitigate adverse effects. For instance, predictive models can analyze trends in data related to market fluctuations, operational inefficiencies, or safety incidents, which allows organizations to prepare for uncertainties.
A study by Deloitte emphasizes that “predictive analytics can help organizations identify potential risks, assess their impact, and prioritize responses” (Deloitte, 2021). This framework allows decision-makers to allocate resources efficiently, ensuring that the most significant risks are addressed first. The ability to predict risks not only enhances operational efficiency but also fosters a culture of preparedness, where organizations are equipped to handle disruptions more effectively.
Effective Risk Management and Organizational Resilience
Effectively managing risks is crucial for building resilient organizations. Resilience refers to an organization’s capacity to absorb shocks and maintain functionality in the face of adversity. Research indicates that organizations with robust risk management frameworks tend to outperform their competitors, especially during crises. According to a report by the World Economic Forum (2020), resilient organizations exhibit agility and adaptability, allowing them to navigate challenges while sustaining performance.
Effective risk management involves identifying, assessing, and mitigating potential risks while also fostering a proactive mindset. Organizations that utilize predictive analytics can develop a deeper understanding of their risk landscape, leading to informed decision-making and strategic planning. This ultimately enhances their ability to achieve long-term objectives and fulfill their missions. For example, businesses that can anticipate market shifts or operational disruptions are better positioned to adjust their strategies accordingly.
Moreover, resilient organizations often cultivate stronger stakeholder trust. When stakeholders see that an organization is prepared for potential risks and can manage them effectively, it instills confidence in the organization’s leadership and strategy. This trust can translate into customer loyalty, employee engagement, and improved investor relations—all vital components for long-term success.
Application in the Aviation Industry
In the aviation industry, predictive analytics and AI have transformative potential in enhancing safety and operational efficiency. One significant application is in predictive maintenance. Airlines can leverage data analytics to monitor aircraft performance in real-time, analyzing variables such as engine health, fuel efficiency, and system alerts. By predicting when a component is likely to fail or require maintenance, airlines can perform preventative maintenance before issues arise.
For instance, Delta Air Lines has implemented predictive maintenance systems that utilize AI algorithms to analyze historical maintenance records and real-time data from aircraft sensors. This system can predict potential mechanical failures with remarkable accuracy. According to a report from McKinsey & Company (2021), predictive maintenance can reduce maintenance costs by up to 30% while enhancing aircraft availability and safety.
Furthermore, predictive analytics can improve flight scheduling by analyzing factors such as weather patterns, air traffic conditions, and historical delays. By anticipating these variables, airlines can optimize flight routes and schedules, reducing delays and improving customer satisfaction. The ability to predict risks associated with flight operations not only enhances passenger safety but also contributes to overall operational efficiency.
Conclusion
In conclusion, the integration of predictive analytics powered by artificial intelligence is revolutionizing how organizations manage risks. The relationship between predictability and effective risk management enables organizations to proactively prepare for uncertainties while fostering resilience and long-term performance. In sectors like aviation, the application of these capabilities can lead to significant improvements in safety, efficiency, and customer satisfaction. As organizations continue to embrace predictive analytics, they will be better equipped to navigate an increasingly complex and unpredictable business environment.
References
Deloitte. (2021). Predictive Analytics: Transforming Risk Management. Retrieved from Deloitte
McKinsey & Company. (2021). The future of aviation: How predictive maintenance will change the game. Retrieved from McKinsey
World Economic Forum. (2020). Global Risks Report 2020. Retrieved from WEF
